Time-sensitive clinical concept embeddings learned from large electronic health records

BACKGROUND: Learning distributional representation of clinical concepts (e.g., diseases, drugs, and labs) is an important research area of deep learning in the medical domain. However, many existing relevant methods do not consider temporal dependencies along the longitudinal sequence of a patient’s...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:BMC Med Inform Decis Mak
Egile Nagusiak: Xiang, Yang, Xu, Jun, Si, Yuqi, Li, Zhiheng, Rasmy, Laila, Zhou, Yujia, Tiryaki, Firat, Li, Fang, Zhang, Yaoyun, Wu, Yonghui, Jiang, Xiaoqian, Zheng, Wenjin Jim, Zhi, Degui, Tao, Cui, Xu, Hua
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2019
Gaiak:
Research
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6454598/
https://ncbi.nlm.nih.gov/pubmed/30961579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0766-3
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